minimum_probability?

what's happen if i put minimum_probability >0.7, the result will change, and how change?Which data mining algorithm are you using to create your model?|||association rules, thanks for your interesting. i want to know what happen if change minimum_probability greater than 0.7 or more, my rules will usefull or useless, and when i change which i will lost? and which i will get. also for minimum_support
thanks|||

Probability for a rule {A,B,C} -> D is given by Support( {A,B,C,D})/Support( {A, B, C}) and is a measure of how probable the itemset {A,B,C,D} is when the items {A,B,C} is present. If you change the minimum_probability parameter, only rules which are above this threshold will be found during training. Increasing this value generates fewer rules.

Minimum_Support measures the number of cases where the itemset {A,B,C,D} appear together with respect to the total number of cases. This measures how frequent an itemset is. This is an orthogonal measure to the minimum_probability, but increasing the value will generate fewer itemsets/rules.

A good value for these parameters usually depennd on your dataset. Please let me know if you have any additional questions about these parameters.

Thanks